Testing the no-hair theorem with black hole ringdowns using TIGER
arXiv:1406.3201 · doi:10.1103/PhysRevD.90.064009
Abstract
The Einstein Telescope (ET), a proposed third-generation gravitational wave observatory, would enable tests of the no-hair theorem by looking at the characteristic frequencies and damping times of black hole ringdown signals. In previous work it was shown that with a single black hole at distance Gpc (or redshift ), deviations of a few percent in the frequencies and damping times of dominant and sub-dominant modes would be within the range of detectability. Given that such sources may be relatively rare, it is of interest to see how well the no-hair theorem can be tested with events at much larger distances and with smaller signal-to-noise ratios, thus accessing a far bigger volume of space and a larger number of sources. We employ a model selection scheme called TIGER (Test Infrastructure for GEneral Relativity), which was originally developed to test general relativity with weak binary coalescence signals that will be seen in second-generation detectors such as Advanced LIGO and Advanced Virgo. TIGER is well-suited for the regime of low signal-to-noise ratio, and information from a population of sources can be combined so as to arrive at a stronger test. By performing a range of simulations using the expected noise power spectral density of Einstein Telescope, we show that with TIGER, similar deviations from the no-hair theorem as considered in previous work will be detectable with great confidence using sources distributed uniformly in co-moving volume out to 50 Gpc ().
11 pages, 20 figures. Matches version in PRD
References in corpus (8)
- Scientific Objectives of Einstein Telescope
- On the final spin from the coalescence of two black holes
- Matched-filtering and parameter estimation of ringdown waveforms
- Observing IMBH-IMBH Binary Coalescences via Gravitational Radiation
- Intermediate-mass black holes in colliding clusters: Implications for lower-frequency gravitational-wave astronomy
- A Bayesian approach to the follow-up of candidate gravitational wave signals
- The dynamics of generalized Palatini Theories of Gravity
- Assigning confidence to inspiral gravitational wave candidates with Bayesian model selection